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Who will be smart home users? An analysis of adoption and diffusion of smart homes
14 references·16 citing·35 second hop
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1988On the Evaluation of Structural Equation Models26,139 cited
  • 1980Significance tests and goodness of fit in the analysis of covariance structures.19,061 cited
  • 2001Discrete Choice Methods with Simulation7,780 cited
  • 2003Diffusion of innovations6,722 cited
  • 2002Why do people use information technology? A critical review of the technology acceptance model4,200 cited
  • 2003Predicting e-services adoption: a perceived risk facets perspective3,346 cited
  • 2004What drives mobile commerce?2,282 cited
  • 1934Attitudes vs. Actions1,716 cited
  • 2004Discrete choice methods with simulation1,196 cited
  • 1998Marketing models of consumer heterogeneity790 cited
  • 2015User acceptance of wearable devices: An extended perspective of perceived value635 cited
  • 2010Explaining Internet Banking Behavior: Theory of Reasoned Action, Theory of Planned Behavior, or Technology Acceptance Model?511 cited

Cited by

  • 2023Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

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355 cited
  • 2021Continuance intention of online technologies: A systematic literature review238 cited
  • 2024Digital transformation: A multidisciplinary perspective and future research agenda225 cited
  • 2019Factors driving the adoption of smart home technology: An empirical assessment219 cited
  • 2019What will be the possible barriers to consumers’ adoption of smart home services?184 cited
  • 2021Hey Alexa: examining the effect of perceived socialness in usage intentions of AI assistant-enabled smart speaker148 cited
  • 2022The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy calculus theories148 cited
  • 2021The continuation and recommendation intention of artificial intelligence-based voice assistant systems (AIVAS): the influence of personal traits137 cited
  • 2019A study on the reciprocal relationship between user perception and retailer perception on platform-based mobile payment service136 cited
  • 2022Consumer's intention to use and recommend smart home technologies: The role of environmental awareness112 cited
  • 2019How perceived security risk affects intention to use smart home devices: A reasoned action explanation106 cited
  • 2020Understanding the adoption and willingness to pay for internet of things services103 cited
  • 2020Determinants and Barriers of Artificial Intelligence Adoption – A Literature Review95 cited
  • 2021Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach84 cited
  • 2022Consumers’ Intention to Adopt m-payment/m-banking: The Role of Their Financial Skills and Digital Literacy78 cited
  • 2018I Want It Anyway: Consumer Perceptions of Smart Home Devices76 cited